| Title: | Composite Index Builder & Analytics 'shiny' App |
|---|---|
| Description: | Provides an interactive 'shiny' application for constructing, analysing, comparing, and visualising composite indices from tabular multidimensional data. Supports multi-sheet 'Excel' workbooks with active-sheet selection, refresh controls, per-sheet and workbook-wide exports, automatic reshaping of wide indicator-year columns such as 'IN1-2019' into panel form, configurable missing-value code handling, indicator direction and normalisation controls, equal and custom weighting, entity-level ranking, time-series analysis and forecasting, entity comparisons, pillar-based sub-indices with equal, custom, correlation-based, or principal-component weights, and diagnostic tools including internal-consistency reliability assessment, coefficient of variation, principal component analysis, sensitivity analysis, correlation heatmaps, and weighted flow visualizations. |
| Authors: | Hossein Hassani [aut], Steve Macfeely [aut], Petra Kynclova [aut], Nour Barnat [aut], Leila Marvian Mashhad [aut, cre], Fernando CANTU BAZALDUA [aut] |
| Maintainer: | Leila Marvian Mashhad <[email protected]> |
| License: | GPL-3 |
| Version: | 2.1.0 |
| Built: | 2026-10-13 13:22:30 UTC |
| Source: | https://github.com/cran/compIndexBuilder |
Provides an interactive Shiny application for building and analysing composite
indices from multidimensional tabular data. Version 2.1 supports multi-sheet
Excel workbooks, automatic conversion of indicator-year headers such as
IN1-2019 into panel form, configurable missing-value codes, sheet-level
exports, data processing, custom and pillar-based weighting, rankings,
time-series analysis, forecasting, comparisons, and statistical diagnostics.
Launch the application in an interactive R session with
compIndexBuilder().
Hossein Hassani, Steve Macfeely, Petra Kynclova, Nour Barnat, Leila Marvian Mashhad, and Fernando CANTU BAZALDUA.
Maintainer: Leila Marvian Mashhad <[email protected]>
Launches the interactive Shiny application bundled with compIndexBuilder. The application supports CSV and multi-sheet Excel workbooks, automatic indicator-year wide-to-panel preparation, configurable missing-value handling, composite-index construction, weighting, diagnostics, time-series analysis, forecasting, comparisons, and pillar-based sub-indices.
compIndexBuilder(...)compIndexBuilder(...)
... |
Additional arguments passed to |
Invisibly returns the value returned by shiny::runApp(). The function
is primarily called for its side effect of launching the Shiny application.
if (interactive()) { compIndexBuilder() }if (interactive()) { compIndexBuilder() }